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Machine Learning with Python, IBM

775 notes
93 avis

À propos de ce cours

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis

par RC

Feb 07, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

par JJ

Dec 06, 2018

I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis

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95 avis


Feb 19, 2019

Very nice course...learned a lot

par sergey kutenko

Feb 19, 2019

Dear all.

It would be grate if you will add roc-curver and ordinal regression examples into this corse.

Sincerely, Sergey Kutenko

par Bakyt Niiazov

Feb 19, 2019

A great introduction to Machine Learning with Python. Thank you!!!

par 宋文傑

Feb 19, 2019

It go through many kinds of machine learning with only simple sample. it doesn't seem like I can earn some job-ready skill after taking this course. The introduction is good, but the content are just too simple to help us deal with real problem.

par Wilfred Castelino

Feb 17, 2019

It was a great learning experience.

par Carlos Junior Barros Amador

Feb 17, 2019

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

par Kobi Zohar

Feb 17, 2019

Very professional explanation. highly recommended

par jozze

Feb 17, 2019

The best course of the specialization so far.

par lianghui tian

Feb 16, 2019

Some code can not work.


Feb 16, 2019

This course was very good for me and helped me a lot